DKE research theme

Cognitive Robotics and Complex Self-Organising Systems (SwarmLab)

What do social networks, biological organisms, economic systems, and the human brain have in common? Their intelligence is in their network: these complex self-organizing systems are more than just the sum of their parts. At DKE SwarmLab we believe that understanding and exploiting the mechanisms that lead to self-organization in complex systems will lead to advanced artificial intelligent systems. One of our key research targets is the creation of cognitive robotic systems – human-friendly machines capable of perceiving, understanding, and interacting with their environment.

Highlighted publications

  • Alvanitopoulos, P., Diplaris, S., de Gelder, B., Shvets, A., Benayoun, M., Koulali, P., Moghnieh, A., Shekhawat, Y., Stentoumis, C., Hosmer, T., Anadol, R., Borreguero, M., Martin, A., Sciama, P., Avgerinakis, K., Petrantonakis, P., Briassouli, A., Mille, S., Tellios, A., ... Kompatsiaris, I. (2019). MindSpaces: Art-driven Adaptive Outdoors and Indoors Design. In 9th International Conference on Digital Presentation and Preservation of Cultural and Scientific Heritage (DiPP): DiPP2019 (Vol. 9, pp. 391-400). Digital presentation and preservation of cultural and scientific heritage
  • Benitez-Andonegui, A., Burden, R., Benning, R., Möckel, R., Lührs, M., & Sorger, B. (2020). An Augmented-Reality fNIRS-Based Brain-Computer Interface: A Proof-of-Concept Study. Frontiers in Neuroscience, 14, [346]. https://doi.org/10.3389/fnins.2020.00346
  • Liu, D., Spanakis, G., & Niehues, J. (2020). Low-Latency Sequence-to-Sequence Speech Recognition and Translation by Partial Hypothesis Selection. In Proceedings of Interspeech 2020 (pp. 3620-3624) https://doi.org/10.21437/Interspeech.2020-289
  • Mariyam Christopher, S., Urlings, C., van den Bongarth, H., Coppens, K., Hurks, P. P. M., Borghans, L., & Möckel, R. (2019). A Digital Wooden Tabletop Maze for Estimation of Cognitive Capabilities in Children. In M. A. Salichs, S. S. Ge, E. I. Barakova, J. J. Cabibihan, A. R. Wagner, A. Castro-González, & H. He (Eds.), Social Robotics: 11th International Conference, ICSR 2019, Madrid, Spain, November 26-29, 2019, Proceedings (Vol. 11876, pp. 622-632). Springer. Lecture Notes in Computer Science Vol. 11876 https://doi.org/10.1007/978-3-030-35888-4_58
  • Möckel, R., Dahl, L., & Mariyam Christopher, S. (2019). Interdisciplinary Teaching with the Versatile Low-Cost Modular Robotic Platform EDMO. In M. Moro, D. Alimisis, & L. Iocchi (Eds.), Educational Robotics in the Context of the Maker Movement (Vol. 946, pp. 135-146). Springer, Cham. Advances in Intelligent Systems and Computing https://doi.org/10.1007/978-3-030-18141-3
  • Möckel, R., Dahl, L., Boonen, D., Parren, D., & Gou, Y. (2021). Robotics Education Under COVID-19 Conditions with Educational Modular Robots. In M. Malvezzi, D. Alimisis, & M. Moro (Eds.), Education in & with Robotics to Foster 21st-Century Skills: Proceedings of EDUROBOTICS 2020 (Vol. 982, pp. 26-38). Springer, Cham. Studies in Computional Intelligence Vol. 982 https://doi.org/10.1007/978-3-030-77022-8_3
  • Montulet, R., & Briassouli, A. (2019). Deep Learning for Robust end-to-end Tone Mapping. In British Machine Vision Conference Proceedings.
  • Montulet, R., & Briassouli, A. (2020). Densely Annotated Photorealistic Virtual Dataset Generation for Abnormal Event Detection. In Proceedings of the International Conference on Pattern Recognition, ICPR 2020: ICPR FGVRID Workshop: Fine-Grained Visual Recognition and re-Identification
  • Niehues J. Continuous Learning in Neural Machine Translation using Bilingual Dictionaries. In Proceedings of the 16th Conference of the European Chapter of the Association for Computational Linguistics (EACL) 2021 April 19 (pp. 830-840). Association for Computational Linguistics
  • Roos, N., & Sun, Z. (2019). Explainable Robotics applied to bipedal gait development. In BeNeLux Artificial Intelligence Conference (BNAIC): Proceedings of the Reference AI & ML Conference for Belgium, Netherlands & Luxemburg (Vol. 2491). CEUR Workshop Proceedings. http://ceur-ws.org/Vol-2491/paper38.pdf
  • Sun, Z., & Roos, N. (2018). Dynamically stable walk control of biped humanoid on uneven and inclined terrain. Neurocomputing, 280, 111 - 122. https://doi.org/10.1016/j.neucom.2017.08.077

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